Staff Software Engineer - Simulation

at  SafeAI

ABOUT SAFEAI

SafeAI sees the future of heavy industry with off-road autonomous vehicles reshaping industries like construction and mining. We are pioneering a new approach to autonomous off-road equipment with AI-powered, vehicle and manufacturer agnostic technology that enables heavy industry operations to retrofit any piece of equipment with autonomous technology. Since 2017, we’ve been steadily establishing a foundation for the future, targeting the most important, heavily used off-road vehicles and industry segments to drive meaningful impacts across safety, productivity and cost reduction. We are now entering an era of massive industry adoption and are excited to be a commanding force in accelerating this movement to transform heavy industry with connected autonomy.

MINIMUM QUALIFICATIONS

• B.S. or M.S. in Computer Science, software engineering, or related field
• 5+ years of industry experience in software development
• Proficient in modern C++ and Python
• Good sense of systems and data-oriented design
• Understanding of common software performance issues and design tradeoffs
• Demonstrated experience working cross-functionally with product, QA, program, etc.
• Have a high standard of technical excellence, maintaining and raising the technical bar for the team

Preferred Qualifications

• Broader knowledge of the autonomy stack (planning, perception, mapping, localization, etc.)
• Hands-on experience building large-scale distributed systems
• Knowledge of linear algebra, computational geometry, or numerical methods
• Experience with vehicle dynamics
• Experience with ROS/ROS2

The base salary range for this position is $150K-$200K per year. SafeAI’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future.

• Leverage synthetic techniques to craft scalable solutions that broaden scenario coverage
• Build the simulation framework to seamlessly integrate third-party software with in-house components, enhancing overall runtime efficiency
• Facilitate seamless integration of simulation tools into engineers’ daily workflows, embedding them deeply within the autonomy technical stack’s validation
• Empower the entire team to rigorously validate functionalities and ensure safety
• Forge close partnerships with autonomy engineers, cultivating a deep understanding of autonomy mechanisms to formulate optimal solutions